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Abstract

An index extending the widely used omega-hierarchical coefficient is discussed, which can be used for evaluating the influence of a second-order factor on the interrelationships among the components of a hierarchical measuring instrument. The index represents a useful and informative complement to the traditional omega-hierarchical measure of explained overall scale score variance by that underlying construct. A point and interval estimation procedure is outlined for the described index, which is based on model reparameterization and is developed within the latent variable modeling framework. The method is readily applicable with popular software and is illustrated with examples.

Keywords

average correlation hierarchical scale multiple-component measuring instrument omega-hierarchical coefficient second-order construct second-order factor analysis model

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An Omega-Hierarchical Extension Index for Second-Order Constructs With Hierarchical Measuring Instruments

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